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A debris removal plan for emergency response minimizing cost and time under Neutrosophic environment

机译:在中智环境下的碎片清除计划,用于应急响应,可最大程度地减少成本和时间

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The destruction of any structure or body produce debris during the disaster. In the aftermath of a disaster, the affected community losses large amount of property and the occurred debris prohibits the humanitarian supply. To reduce the effect of debris on environmental degradation, it has to be removed quickly. This research has initiated a debris removal plan to clear it from environment. Through this plan, a mathematical model is defined to eliminate the debris in order to provide a nutritious, healthy and disease free environment. As delay of debris removal disrupted humanitarian supply network resulting loss of lives, therefore quick removal of debris is important. Regarding this, two objective functions are considered in this paper; minimization of total cost and time of the debris operation. As disaster is an uncertain event and measure of its destruction immediately after the strike is also uncertain and hereby Neutrosophic number are used with the uncertain parameters of the present model. As the model is multi-objective, optimal compromise solution is derived through goal programming method using LINGO optimization solver.
机译:在灾难期间,任何结构或物体的破坏都会产生碎片。在灾难之后,受灾社区损失了大量财产,所发生的碎片阻碍了人道主义供应。为了减少碎片对环境退化的影响,必须迅速将其清除。这项研究已经启动了清除杂物的计划,以将其从环境中清除。通过该计划,定义了一个数学模型以消除碎片,以提供营养,健康且无病的环境。由于碎片清除的延迟破坏了人道主义供应网络,导致人员丧生,因此,迅速清除碎片很重要。关于这一点,本文考虑了两个目标函数。最小化杂物操作的总成本和时间。由于灾难是一个不确定的事件,并且在罢工后立即确定其破坏的措施也是不确定的,因此将中智数与本模型的不确定参数一起使用。由于模型是多目标的,因此使用LINGO优化求解器通过目标编程方法得出了最佳折衷解决方案。

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